Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.240 IF 5.240
  • IF 5-year value: 5.768 IF 5-year
    5.768
  • CiteScore value: 8.9 CiteScore
    8.9
  • SNIP value: 1.713 SNIP 1.713
  • IPP value: 5.53 IPP 5.53
  • SJR value: 3.18 SJR 3.18
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 71 Scimago H
    index 71
  • h5-index value: 51 h5-index 51
Volume 9, issue 10
Geosci. Model Dev., 9, 3803–3815, 2016
https://doi.org/10.5194/gmd-9-3803-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: The Firedrake automatic code generation system

Geosci. Model Dev., 9, 3803–3815, 2016
https://doi.org/10.5194/gmd-9-3803-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Development and technical paper 27 Oct 2016

Development and technical paper | 27 Oct 2016

A structure-exploiting numbering algorithm for finite elements on extruded meshes, and its performance evaluation in Firedrake

Gheorghe-Teodor Bercea et al.

Related authors

Slate: extending Firedrake's domain-specific abstraction to hybridized solvers for geoscience and beyond
Thomas H. Gibson, Lawrence Mitchell, David A. Ham, and Colin J. Cotter
Geosci. Model Dev., 13, 735–761, https://doi.org/10.5194/gmd-13-735-2020,https://doi.org/10.5194/gmd-13-735-2020, 2020
Short summary
Devito (v3.1.0): an embedded domain-specific language for finite differences and geophysical exploration
Mathias Louboutin, Michael Lange, Fabio Luporini, Navjot Kukreja, Philipp A. Witte, Felix J. Herrmann, Paulius Velesko, and Gerard J. Gorman
Geosci. Model Dev., 12, 1165–1187, https://doi.org/10.5194/gmd-12-1165-2019,https://doi.org/10.5194/gmd-12-1165-2019, 2019
Short summary
Thetis coastal ocean model: discontinuous Galerkin discretization for the three-dimensional hydrostatic equations
Tuomas Kärnä, Stephan C. Kramer, Lawrence Mitchell, David A. Ham, Matthew D. Piggott, and António M. Baptista
Geosci. Model Dev., 11, 4359–4382, https://doi.org/10.5194/gmd-11-4359-2018,https://doi.org/10.5194/gmd-11-4359-2018, 2018
Short summary
Adapting to life: ocean biogeochemical modelling and adaptive remeshing
J. Hill, E. E. Popova, D. A. Ham, M. D. Piggott, and M. Srokosz
Ocean Sci., 10, 323–343, https://doi.org/10.5194/os-10-323-2014,https://doi.org/10.5194/os-10-323-2014, 2014
Automating the solution of PDEs on the sphere and other manifolds in FEniCS 1.2
M. E. Rognes, D. A. Ham, C. J. Cotter, and A. T. T. McRae
Geosci. Model Dev., 6, 2099–2119, https://doi.org/10.5194/gmd-6-2099-2013,https://doi.org/10.5194/gmd-6-2099-2013, 2013

Related subject area

Numerical Methods
Towards an objective assessment of climate multi-model ensembles – a case study: the Senegalo-Mauritanian upwelling region
Juliette Mignot, Carlos Mejia, Charles Sorror, Adama Sylla, Michel Crépon, and Sylvie Thiria
Geosci. Model Dev., 13, 2723–2742, https://doi.org/10.5194/gmd-13-2723-2020,https://doi.org/10.5194/gmd-13-2723-2020, 2020
Short summary
QuickSampling v1.0: a robust and simplified pixel-based multiple-point simulation approach
Mathieu Gravey and Grégoire Mariethoz
Geosci. Model Dev., 13, 2611–2630, https://doi.org/10.5194/gmd-13-2611-2020,https://doi.org/10.5194/gmd-13-2611-2020, 2020
Short summary
A full Stokes subgrid scheme in two dimensions for simulation of grounding line migration in ice sheets using Elmer/ICE (v8.3)
Gong Cheng, Per Lötstedt, and Lina von Sydow
Geosci. Model Dev., 13, 2245–2258, https://doi.org/10.5194/gmd-13-2245-2020,https://doi.org/10.5194/gmd-13-2245-2020, 2020
Short summary
On the numerical integration of the Lorenz-96 model, with scalar additive noise, for benchmark twin experiments
Colin Grudzien, Marc Bocquet, and Alberto Carrassi
Geosci. Model Dev., 13, 1903–1924, https://doi.org/10.5194/gmd-13-1903-2020,https://doi.org/10.5194/gmd-13-1903-2020, 2020
Short summary
Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4
Theo Baracchini, Philip Y. Chu, Jonas Šukys, Gian Lieberherr, Stefan Wunderle, Alfred Wüest, and Damien Bouffard
Geosci. Model Dev., 13, 1267–1284, https://doi.org/10.5194/gmd-13-1267-2020,https://doi.org/10.5194/gmd-13-1267-2020, 2020
Short summary

Cited articles

Bercea, G.-T.: Unstructured meshes for extrusion article, https://doi.org/10.5281/zenodo.61819, 2016a.
Bercea, G.-T.: Data and plot scripts for Haswell experiments, https://doi.org/10.5281/zenodo.61919, 2016b.
Bercea, G.-T.: Data and plot scripts for Sandy Bridge experiments, https://doi.org/10.5281/zenodo.61920, 2016c.
COFFEE: A Compiler for Fast Expression Evaluation, https://doi.org/10.5281/zenodo.47715, 2016.
FFC: FEniCS Form Compiler, https://doi.org/10.5281/zenodo.47761, 2016.
Publications Copernicus
Download
Short summary
Unstructured meshes offer flexibility but are perceived as slow. Some applications, including atmosphere or ocean simulations, admit an extruded mesh: the horizontal mesh may be unstructured, but the vertical dimension can be traversed in a structured way. By extending the Firedrake automated simulation framework to this case, we show that an extruded mesh can be traversed as fast as a structured mesh. This paves the way for highly efficient unstructured mesh models of the ocean and atmosphere.
Unstructured meshes offer flexibility but are perceived as slow. Some applications, including...
Citation